DECLINES IN CONTROL BELIEFS OVER TIME: THE ROLE OF PERCEIVED DISCRIMINATION AND INEQUALITY

Abstract Higher control beliefs represent a key protective factor for healthy aging, broadly defined. If the benefits of control beliefs are well documented, fewer studies have focused on the antecedents of changes in control. There is empirical evidence that social stress, such as being treated unfairly or discriminated against, may erode personal control. The goal of this study was to examine perceived discrimination and inequality in relation to long-term change in control beliefs, in a national sample, using data from the Midlife in the United States (MIDUS) longitudinal study (Waves II and III, N = 2540, MIDUS II age range: 30-84, Mean=55.53, SD=11.21). Perceived discrimination was quantified as the sum of 9 items capturing experiences of daily discrimination. Perceived inequality was measured in three settings: work, family (relationship with children), and home. Both mastery and perceived constraints were used as indicators of control beliefs. The results revealed a significant decline in control between the two waves. Controlling for age, gender, education, self-rated physical health, and baseline control beliefs, higher daily discrimination and perceived inequality were significantly associated with lower control beliefs, 8 to 10 years later. There were not significant interactions with age and the patterns of results persisted when other relevant factors, such as cognitive performance and physical activity, were considered. The findings suggest that interventional programs should target (sources of) perceived discrimination and inequality and that changes in control beliefs could be considered a potential mechanism of the association between social stress and trajectories of healthy aging.

to adopt AV than young adults (17-21 yrs, n = 47) despite a lower confidence on human driving over AV.There was no age group difference in concern with AV.Multiple regressions supported that technology proficiency can be another significant predictor of willingness to adopt AV over and above other individual difference factors (i.e., age groups, gender, & personality).These results indicate that older adults in rural areas have complex and ambivalent attitudes toward AV, which suggest different approaches to the dissemination of AV technology for them.

COGNITIVE AND FUNCTIONAL IMPACTS OF CHILD LABOR IN INDIA: THE MEDIATING ROLE OF EDUCATION
Seolah Lee 1 , Kriti Vikram 2 , and Hyo Jung Lee 1 , 1. Yonsei University, Seoul, Republic of Korea, 2. National University of Singapore, Singapore, Singapore This study aims to examine how entry into the labor market in childhood is associated with deficits in latelife cognitive and functional health.Using the Cumulative Advantage/Disadvantage Theory, it further explores how educational attainment, an indicator of socio-economic status, mediates the associations between child labor and cognitive and functional health among older adults in India.Lastly, it investigates if the results vary by gender.We use the nationally representative World Health Organization Study on global AGEing and Health (SAGE), and select respondents aged 50 years or older (n = 6,215 for Mini-Mental State Examination (MMSE); n=6,408 for the Functional Limitation (FL)).Mediation models were performed for each dependent variable using the sgmediation2 program, bootstrapped 5,000 resamples, and percentile bootstrap confidence interval.The indirect and total effects of child labor on MMSE were significant, while the direct effect of child labor was not.For FL, the indirect effect was significant, but the direct and total effects were not.Gender difference was found in terms of the direct effect, child work was directly associated with a lower MMSE score in older women (p < .01),whereas it was not significant for older men.Findings suggest that early entry into the labor market (as a child) has a negative impact on older adults' MMSE and FL through deprivation of educational opportunities.Providing opportunities for completing certain level of education can mitigate the negative impact of child labor on health in old age.

DECLINES IN CONTROL BELIEFS OVER TIME: THE ROLE OF PERCEIVED DISCRIMINATION AND INEQUALITY
Stefan Agrigoroaei 1 , and Denisa Cristina-Alina Berceanu 2 , 1. Universite Catholique de Louvain, Brabant Wallon,Belgium,2. University of Bucharest,Bucharest,Bucuresti,Romania Higher control beliefs represent a key protective factor for healthy aging, broadly defined.If the benefits of control beliefs are well documented, fewer studies have focused on the antecedents of changes in control.There is empirical evidence that social stress, such as being treated unfairly or discriminated against, may erode personal control.The goal of this study was to examine perceived discrimination and inequality in relation to long-term change in control beliefs, in a national sample, using data from the Midlife in the United States (MIDUS) longitudinal study (Waves II and III, N = 2540, MIDUS II age range: 30-84, Mean=55.53,SD=11.21).Perceived discrimination was quantified as the sum of 9 items capturing experiences of daily discrimination.Perceived inequality was measured in three settings: work, family (relationship with children), and home.Both mastery and perceived constraints were used as indicators of control beliefs.The results revealed a significant decline in control between the two waves.Controlling for age, gender, education, self-rated physical health, and baseline control beliefs, higher daily discrimination and perceived inequality were significantly associated with lower control beliefs, 8 to 10 years later.There were not significant interactions with age and the patterns of results persisted when other relevant factors, such as cognitive performance and physical activity, were considered.The findings suggest that interventional programs should target (sources of) perceived discrimination and inequality and that changes in control beliefs could be considered a potential mechanism of the association between social stress and trajectories of healthy aging.
Abstract citation ID: igad104.3078Household conditions play a crucial role in the well-being of older adults, who usually spend much longer time in their homes than younger adults.Few studies have examined the compound effects of multiple household conditions on trajectory of cognition function among older adults.This study examines the relationship between household environments and trajectories of cognitive function among middle-aged and older adults in China.It also examines urban/rural, gender, and age variations in this relationship.Using a representative sample of 16,111 respondents aged 45 years and over from four waves of the China Health and Retirement Longitudinal Study (2011-2018), we estimated multi-level linear growth curve models of household social, economic, and physical conditions on cognitive decline over seven years.The results show that older people who lived with spouse but not with children and those with higher living expenditures, better housing quality, and indoor clean fuels for cooking had slower cognitive decline.Living arrangement more strongly predicted men's cognitive decline while living expenditure, solid fuel use and housing quality significantly predicted only women's cognitive decline.Only for adults aged 60 year and over, living alone or living with spouse and adult children significantly predicted a faster cognitive decline.Only for rural residents, living alone or living with young children and no adult children significantly predicted a faster cognitive decline.These findings underscore the importance of social policies and programs targeting at improving the living conditions of older adults to help mitigate their cognitive decline.

HOUSEHOLD ENVIRONMENTS AND COGNITIVE DECLINE AMONG MIDDLE-AGED AND OLDER ADULTS IN CHINA
Abstract citation ID: igad104.3079

INEQUALITY IN AWARENESS, TREATMENT, AND CONTROL OF VISUAL IMPAIRMENTS AMONG OLDER ADULTS AND ELDERLY IN INDIA Rajeev Singh, International Institute for Population Sciences, Mumbai, Mumbai, Maharashtra, India
Globally, 1.1 billion people have some form of visual impairment, and 90 percent of them live in low and middleincome countries.The prevalence of visual impairment is increasing, and the likelihood of increasing this trend is also higher.Yet, there is little evidence on the extent of awareness, treatment, and control (ATC) of visual impairment in India.We estimate the prevalence and ATC of visual impairment among older adults and the elderly across socioeconomic groups.We used the unit data from the first round of the Longitudinal ageing study of India (LASI), 2017-18, bivariate analysis, estimated age sex-adjusted prevalence, logistic regression, concentration index, and concentration curve used in the analyses.Among the 45+ population, 30.18% have any form of visual impairment, around 47.96% have awareness about the visual impairment, 17.21% have taken treatment for vision-related issues, and 12.70% have control vision after treatment.The prevalence was higher among the illiterate poor and females; however, the awareness, treatment, and control were higher among those with higher education who belongs to the richer richest wealth quintile.The concentration index and concentration curve suggest that higher prevalence was concentrated among the poor, and contrary to that, awareness treatment and control were concentrated among richer.To deal with it, public health services from the primary, secondary, and tertiary levels may be integrated for effective care of growing, underdiagnosed, and untreated visual impairments among older adults and the elderly in India.
Abstract citation ID: igad104.3080Disparities in wealth in the US are linked to disadvantageous health outcomes over the lifecourse.Cognitive impairment can widen wealth disparities.We examine how cognitive impairment influences change in wealth starting in mid-life and into older adulthood and the role of social determinants of health in wealth loss due to cognitive impairment.We use biennial longitudinal data (Health andRetirement Study: 2000-2018) on Non-Hispanic White (NH-W), NH-Black (NH-B), and Hispanic (H) middle-aged adults (51-64 years and cognitively healthy in 2000; unweighted n=3,651) to model wealth change (measured as the relative (%) difference in reported wealth between 2000-2018 [in 2018 dollars]) as a function of cognitive status (using three